Ciencias Exactas y Ciencias de la Salud

Now showing 1 - 2 of 2

Estimation of ancestry in the mexican population using informative genetic markers
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024) Valdez Alvarez, Héctor; Treviño Alvarado, Víctor Manuel; emipsanchez; Orozco Orozco, Lorena Sofía; García Ortiz, Humberto; Martínez Ledesma, Juan Emmanuel; Escuela de Ingeniería y Ciencias; Campus Monterrey; Garza Hernández, Debora
The study of genetic ancestry has become an essential component of modern genetics, offering insights into the origins and migrations of human populations. This thesis presents the development of a genetic ancestry panel specifically tailored for the Mexican population, a group characterized by its high genetic diversity and complex admixture. The primary objective of this research is to accurately estimate the proportions of ancestry in Mexicans using informative genetic markers, thereby addressing the underrepresentation of this population in Genome-Wide Association Studies (GWAS). In the initial phase, various genetic databases were considered, and three were selected for the development of the ancestry panel: the 1000 Genomes Project (1000G), the Human Genome Diversity Project (HGDP), and the Metabolic Analysis in an Indigenous Sample (MAIS). The integration of these datasets provided a comprehensive view of genetic diversity crucial for the panel's accuracy. Principal Component Analysis (PCA) was employed to visualize the genetic structure and verify the separation of ancestral groups. The results confirmed the integrity of the selected datasets. Three methods for selecting Ancestry Informative Markers (AIMs)—Top K, Balanced K, and SumInfo K—were developed and evaluated. Although Balanced K and SumInfo K showed better performance than Top K, integrating Mexican data (MAIS) posed significant challenges, particularly due to the influence of East Asian populations. To address these issues, a revised strategy was implemented, focusing on optimizing AIM selection and improving the robustness of the panel. This involved a detailed workflow and validation process, ensuring the final panel's reliability. Despite the challenges, the new strategy demonstrated promising results, and the final panel is expected to be completed soon. The developed ancestry panel has significant implications for forensic science, personalized medicine, and anthropological research. By accurately estimating ancestry proportions in the Mexican population, this research contributes to a broader understanding of genetic diversity and supports more effective medical and forensic applications. Future work will focus on finalizing the panel and applying it to the oriGen project, which aims to analyze genetic data from a large cohort of Mexicans, further enhancing the understanding of this population's genetic landscape.
In silico identification of cis-regulatory elements in folate biosynthesis and 1C metabolism genes in plants
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11-26) Salinas Espinosa, Jessica Pamela; TREVIÑO ALVARADO, VICTOR MANUEL; 205076; Treviño Alvarado, Víctor Manuel; puemcuervo; Cuevas Díaz Durán, Raquel; Rodríguez López, Carlos; Martínez Ledesma, Juan Emmanuel; School of Engineering and Sciences; Campus Monterrey; Díaz de la Garza, Rocío Isabel
Folates (vitamin B9) are enzyme cofactors required for all organisms for one-carbon (1C) transfer reactions. A deficiency of these nutrients can lead to several health problems. Since humans are not natural producers of folates, the intake of these nutrients from plants is vital for human nutrition. Several techniques that involve the genetic modification of organisms have proved to be effective for the fortify plants with essential macronutrients. However, to achieve this, it is necessary to elucidate the metabolic control in plant systems. Although the genes involved in folate biosynthesis and 1C metabolism in plants are known, the mechanisms of transcriptional regulation have not yet been explored. This project focuses on discovering cis-regulatory DNA elements (motifs) using computational data analysis to provide insights regarding the regulation of folate biosynthesis in plants. For this, we first collected a compendium of known genes related to folate biosynthesis. Then, a database comprising the DNA promoter regions of folate biosynthesis and 1C metabolism genes in 19 different plant species was built and analyzed using different motif discovery algorithms. Afterward, the discovered motifs were tested for statistical significance and further associated with their putative biological role using other bioinformatics tools. A total of 149 statistically significant motifs (p < .05) were discovered in 18 of 19 species using the GimmeMotifs ensemble algorithm. These motifs were represented in 104 different regulatory networks built automatically from co-expression clusters obtained from each plant species. The results from this work could provide an insight into the transcriptional regulation of the folate biosynthesis pathway in plants. Furthermore, the elements found could be used for research in gene editing techniques to produce biofortified crops.

Ciencias Exactas y Ciencias de la Salud

Browse

Filters

Settings

Sort By

Results per page

Search Results